BOW_test                Transform New Text into a Document-Feature
                        Matrix
BOW_train               Train a Bag-of-Words Model
evaluate_performance    Evaluate Model Performance (ROC and
                        Precision-Recall)
logit_model             Train a Regularized Logistic Regression Model
                        using glmnet
nb_model                Multinomial Naive Bayes for Text Classification
pipeline                Run a Full Text Classification Pipeline on
                        Preprocessed Text
plot.quickSentiment_prc
                        Plot Precision-Recall Curve
plot.quickSentiment_roc
                        Plot ROC Curve
pre_process             Preprocess a Vector of Text Documents
predict_sentiment       Predict Sentiment on New Data Using a Saved
                        Pipeline Artifact
print.quickSentiment_eval
                        Print quickSentiment Evaluation Results
qs_negations            Standard Negation Words for Sentiment Analysis
rf_model                functions/random_forest_fast.R Train a Random
                        Forest Model using Ranger
xgb_model               Train a Gradient Boosting Model using XGBoost
